Correlates of Cyber Dating Abuse Among Teens

Recent advancements in technology (e.g., social networking, texting) have created new ways for dating youth to relate to one another, including in abusive ways via “cyber dating abuse.” Cyber dating abuse is a form of teen dating violence that overlaps with other types of abuse (e.g., psychological) but also has several unique characteristics. Given the phenomenon’s limited presence in dating violence literature, we focus on identifying how experiencing cyber dating abuse relates to youths’ individual behaviors and experiences (e.g., substance use, sexual activity), psychosocial adjustment, school connection, family relationships, and partner relationships. A total of 3,745 youth (52 % female, 74 % White) in three northeastern states participated in the survey and reported currently being in a dating relationship or having been in one during the prior year. We found that experiences of cyber dating abuse were most significantly correlated with being female, committing a greater variety of delinquent behaviors, having had sexual activity in one’s lifetime, having higher levels of depressive symptoms, and having higher levels of anger/hostility. Further, cyber dating abuse appeared somewhat more strongly related to depressive symptoms and delinquency than did other forms of teen dating violence and abuse.     

Culture as Values or Culture in Action? Street Codes and Student Violent Offending

ABSTRACT

The authors draw on two competing cultural perspectives—culture as values and culture in action—to examine the relationship between street codes and the propensity to violently victimize others. Specifically, they explore whether individual-level and school-level street codes, net of one another, are related to 3 types of violence: assault, robbery, and sexual battery. In addition, they consider whether these effects vary according to 3 contextual characteristics: (a) the location of the offending—in school versus out of school, (b) school-level economic disadvantage, and (c) school efficacy. Three-level ordinal logistic regression models are estimated using four waves of survey data from over 3,000 students nested within 103 schools. Results provide evidence that individual-level street codes are related to violent offending in a manner that is, largely speaking, not tied to context. However, there is some evidence that the effects of school-level street codes on offending differ between outside of school and in school settings and are conditioned by levels of school disadvantage and efficacy. Overall, some support is offered for both the culture-as-values and culture-in-action perspectives.     

Adolescent depression: Why more girls?

Although there has been evidence for some time of a sex difference in depression, relatively little research has examined the developmental process by which women come to be at greater risk than men for depression. In this paper, the developmental pattern of depressed affect is examined over early and middle adolescence, with a special focus on the patterns of boys as compared to girls. In addition, a developmental model for mental health in adolescence is tested for its power in explaining the emergence of gender differences in depression. Longitudinal data on 335 adolescents randomly selected from two school districts were used to test the hypotheses. Results revealed that girls are at risk for developing depressed affect by 12th grade because they experienced more challenges in early adolescence than did boys. The sex difference in depressed affect at 12th grade disappears once early adolescent challenges are considered.This research was supported in part by grants MH30252/38142 to A. Petersen. We gratefully acknowledge the contributions of study participants and staff. Portions of this material were presented in a symposium at the 1988 meeting of the Society for Research on Adolescence, and one at the 1989 meeting of the Society for Research in Child Development.Received Ph.D. from University of Chicago in 1973. Research interest in biopsychosocial development in adolescence, with a focus on sex differences in mental health.Research interests include adolescent mental health, and parent and peer relationships.Received Ph.D. in psychology from The Pennsylvania State University. Research interests include development of affective and conduct disorders, especially sex differences in these problems.     

The Insider＇s Guide to Beijing 2005-2006

SO, you're new to Beijing. Will you be living here for a while, or are you just passing through? Perhaps you haven't decided yet. In any case, you must determine which visa best suits your purpose, whether it be to travel, work, visit with a view to working, or study; also how to apply, extend and change your visa. If you have a job here, either at a Chinese work unit or foreign company, you should know about the available medical services, how to go about opening a bank account and the rami…     

Disordered Eating Precursors in Pre- and Early Adolescent Girls and Boys

First- and second-year findings from a study of the development of disordered eating in pre- and early adolescents are presented. Fifth- and sixth-grade girls (n = 80) and boys (n = 85) were assessed on depression, body image, self-esteem, and eating behaviors and attitudes in Year 1 and again one year later. Weight, height, and pubertal development were also evaluated in Year 1 and Year 2. Gender differences existed on all measures in Year 2 and indicated consistently poorer scores for girls compared to boys. For girls, Year 1 Body Mass Index and pubertal development predicted Year 2 disordered eating. For boys, poor body image in Year 1 predicted Year 2 disordered eating. The importance of identifying early risk factors for eating disorders is discussed.     

A Classification Tree Approach to the Development of Actuarial Violence Risk Assessment Tools

Since the 1970s, a wide body of research has suggested that the accuracy of clinical risk assessments of violence might be increased if clinicians used actuarial tools. Despite considerable progress in recent years in the development of such tools for violence risk assessment, they remain primarily research instruments, largely ignored in daily clinical practice. We argue that because most existing actuarial tools are based on a main effects regression approach, they do not adequately reflect the contingent nature of the clinical assessment processes. To enhance the use of actuarial violence risk assessment tools, we propose a classification tree rather than a main effects regression approach. In addition, we suggest that by employing two decision thresholds for identifying high- and low-risk cases--instead of the standard single threshold--the use of actuarial tools to make dichotomous risk classification decisions may be further enhanced. These claims are supported with empirical data from the MacArthur Violence Risk Assessment Study.